OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Data-efficient Neuroevolution with Kernel-Based Surrogate Models Adam Gaier A. Asteroth Jean-Baptiste Mouret SyDa 48 18 0 15 Apr 2018
Robust Dual View Deep Agent Ibrahim Sobh N. Darwish 66 2 0 13 Apr 2018
Reinforcement Learning for UAV Attitude Control W. Koch R. Mancuso R. West Azer Bestavros 79 386 0 11 Apr 2018
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input Angeliki Lazaridou Karl Moritz Hermann K. Tuyls S. Clark LLMAG 87 217 0 11 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 74 177 0 10 Apr 2018
Latent Space Policies for Hierarchical Reinforcement Learning Tuomas Haarnoja Kristian Hartikainen Pieter Abbeel Sergey Levine BDL 83 193 0 09 Apr 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 264 498 0 08 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning L. Kidzinski Sharada Mohanty Carmichael F. Ong Jennifer Hicks Sean F. Carroll Sergey Levine M. Salathé Scott L. Delp 91 62 0 31 Mar 2018
Safe end-to-end imitation learning for model predictive control Keuntaek Lee Kamil Saigol Evangelos A. Theodorou BDL 100 24 0 27 Mar 2018
World Models David R Ha Jürgen Schmidhuber SyDa 184 1,102 0 27 Mar 2018
Natural Gradient Deep Q-learning Ethan Knight Osher Lerner 38 10 0 20 Mar 2018
Setting up a Reinforcement Learning Task with a Real-World Robot A. R. Mahmood D. Korenkevych Brent Komer James Bergstra 76 77 0 19 Mar 2018
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning Michel Breyer Fadri Furrer Tonci Novkovic Roland Siegwart Juan I. Nieto SSL OffRL 85 47 0 13 Mar 2018
Learning to Sequence Robot Behaviors for Visual Navigation Hadi Salman Puneet Singhal Tanmay Shankar Peng Yin A. Salman William Paivine Guillaume Sartoretti Matthew Travers Howie Choset 40 8 0 05 Mar 2018
Accelerating Natural Gradient with Higher-Order Invariance Yang Song Jiaming Song Stefano Ermon 74 23 0 04 Mar 2018
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms Diego Perez-Liebana Jialin Liu Ahmed Khalifa Raluca D. Gaina Julian Togelius Simon Lucas 138 175 0 28 Feb 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine OOD OffRL 102 204 0 28 Feb 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 98 127 0 27 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 75 573 0 26 Feb 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari P. Chrabaszcz I. Loshchilov Frank Hutter 83 100 0 24 Feb 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 96 45 0 23 Feb 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 75 43 0 22 Feb 2018
Clipped Action Policy Gradient Yasuhiro Fujita S. Maeda OffRL 53 37 0 21 Feb 2018
Continual Reinforcement Learning with Complex Synapses Christos Kaplanis Murray Shanahan Claudia Clopath KELM 82 87 0 20 Feb 2018
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures John Mern Jayesh K. Gupta Mykel Kochenderfer 55 1 0 20 Feb 2018
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management Kaixiang Lin Renyu Zhao Zhe Xu Jiayu Zhou 52 8 0 18 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 135 159 0 14 Feb 2018
Efficient Exploration through Bayesian Deep Q-Networks Kamyar Azizzadenesheli Anima Anandkumar OffRL BDL 101 163 0 13 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 114 321 0 12 Feb 2018
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David Evans P. Roth AAML 90 210 0 26 Jan 2018
Learning Symmetric and Low-energy Locomotion Wenhao Yu Greg Turk Chenxi Liu 122 186 0 24 Jan 2018
Reinforcement Learning based Recommender System using Biclustering Technique Sungwoon Choi Heonseok Ha Uiwon Hwang Chanju Kim Jung-Woo Ha Sungroh Yoon OffRL 99 70 0 17 Jan 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes Igor Adamski R. Adamski T. Grel Adam Jedrych Kamil Kaczmarek Henryk Michalewski OffRL 121 37 0 09 Jan 2018
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors Benjamin Spector Serge J. Belongie OffRL 54 15 0 07 Jan 2018
Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report Michal Sustr J. Maly Michal Čertický 37 4 0 07 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 330 8,455 0 04 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 154 1,144 0 02 Jan 2018
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger Vahid Behzadan Arslan Munir AAML 95 67 0 23 Dec 2017
ES Is More Than Just a Traditional Finite-Difference Approximator Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 110 89 0 18 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 141 697 0 18 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti Vashisht Madhavan F. Such Joel Lehman Kenneth O. Stanley Jeff Clune 104 349 0 18 Dec 2017
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 166 1,269 0 16 Dec 2017
Adaptation to criticality through organizational invariance in embodied agents Miguel Aguilera M. G. Bedia 11 8 0 13 Dec 2017
Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using Bellman Duality W. Cho Mengdi Wang OffRL 39 14 0 07 Dec 2017
A Deeper Look at Experience Replay Shangtong Zhang R. Sutton OffRL VLM 116 276 0 04 Dec 2017
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence Lianmin Zheng Jiacheng Yang Han Cai Weinan Zhang Jun Wang Yong Yu 68 212 0 02 Dec 2017
Time Limits in Reinforcement Learning Fabio Pardo Arash Tavakoli Vitaly Levdik Petar Kormushev CLL 105 161 0 01 Dec 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 95 10 0 30 Nov 2017
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control Shangtong Zhang Osmar R. Zaiane 66 11 0 30 Nov 2017
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 102 127 0 27 Nov 2017